R&D data is routinely collected within research silos with different procedures and different ways of analyzing results. Data is typically not standardized nor easily shared.
Goals and Objectives
Effective collaborative research requires standardized data and transparent controlled sharing. Common processes, analytics, and visualization reduce the potential for confusion and misinterpretation of data.
- Secure, shared cloud data resources
- Virtual collaboration workspaces
- Shared, cloud-based applications (including analytics and visualization)
Use Case Summary
With external collaboration the norm, it is critical that team members understand the nature of data involved. With standardized data coming from a variety of sources and geographies, effective R&D requires a common data and analysis foundation if the work is to succeed.